Papers
2
Total Citations
32
H-Index
2
About
Yuhao Guo is a robotics researcher specializing in the manipulation of deformable objects, with a particular focus on deformable linear objects (DLOs) such as cables, ropes, and wires. His work addresses one of robotics’ most challenging open problems: enabling robots to perceive, untangle, and manipulate multiple DLOs in complex, cluttered environments. In his most cited paper, “Untangling Multiple Deformable Linear Objects in Unknown Quantities With Complex Backgrounds” (2023, 26 citations), Guo introduced a novel approach that combines topological modeling of entwined states with a targeted manipulation strategy, allowing robots to handle unknown numbers of tangled cables even against visually noisy backgrounds. This work has significant implications for industrial automation, household robotics, and surgical assistance. Guo has also advanced the field through his research on deformation control using multimodal feedback, as seen in his 2021 paper (6 citations), where he integrated visual and tactile sensing to achieve precise shape manipulation beyond traditional positional constraints. By bridging perception and control, Guo is helping to unlock the next generation of robotic dexterity for handling the soft, flexible objects that pervade our daily lives.
Research Focus
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Top Papers
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